Overview

Dataset statistics

Number of variables22
Number of observations590
Missing cells421
Missing cells (%)3.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory101.5 KiB
Average record size in memory176.2 B

Variable types

DateTime1
Numeric21

Dataset

DescriptionReports of all features in one dataset
URL

Variable descriptions

Natural Gas Price, WellheadPrice from source
Natural Gas Price, CitygatePoint of distribution
Natural Gas Price, Delivered to Consumers, ResidentialAverage price paid for by residential users
Natural Gas Price, Delivered to Consumers, CommercialAverage price paid for by commercial users
Natural Gas Price, Delivered to Consumers, IndustrialAverage price paid for by industrial users
Average Retail Price of Electricity, ResidentialPrice paid by residential homes
Average Retail Price of Electricity, CommercialPrice paid by commercial entities
Average Retail Price of Electricity, IndustrialPrice paid by industrial companies
Average Retail Price of Electricity, TransportationPrice paid by electrical transportation users
Average Retail Price of Electricity, TotalCumulative mean of all categories
Leaded Regular Gasoline, U.S. City Average Retail PricePrice of leaded fuel, 0 when discontinued
Unleaded Regular Gasoline, U.S. City Average Retail PricePrice of unleaded fuel, 0 when leaded was used
Unleaded Premium Gasoline, U.S. City Average Retail PricePrice of premium unleaded fuel
All Grades of Gasoline, U.S. City Average Retail PriceCumulative of all grades of gasoline
Regular Motor Gasoline, Conventional Gasoline Areas, Retail PricePrice of fuel, non-blended
Regular Motor Gasoline, Reformulated Gasoline Areas, Retail PricePrice of fuel, blended
Regular Motor Gasoline, All Areas, Retail PriceCumulative mean of all categories
On-Highway Diesel Fuel PricePrice for diesel fuel
Average Sales PriceAverage price of homes sold in $
Median Sales PriceMedian price of homes sold in $

Alerts

Natural Gas Price, Wellhead is highly correlated with Natural Gas Price, Citygate and 2 other fieldsHigh correlation
Natural Gas Price, Citygate is highly correlated with Natural Gas Price, Wellhead and 3 other fieldsHigh correlation
Natural Gas Price, Delivered to Consumers, Residential is highly correlated with Average Retail Price of Electricity, Residential and 3 other fieldsHigh correlation
Natural Gas Price, Delivered to Consumers, Commercial is highly correlated with Natural Gas Price, CitygateHigh correlation
Natural Gas Price, Delivered to Consumers, Industrial is highly correlated with Natural Gas Price, Wellhead and 2 other fieldsHigh correlation
Natural Gas Price, Electric Power Sector is highly correlated with Natural Gas Price, Wellhead and 2 other fieldsHigh correlation
Average Retail Price of Electricity, Residential is highly correlated with Natural Gas Price, Delivered to Consumers, Residential and 2 other fieldsHigh correlation
Average Retail Price of Electricity, Commercial is highly correlated with Natural Gas Price, Delivered to Consumers, Residential and 3 other fieldsHigh correlation
Average Retail Price of Electricity, Industrial is highly correlated with Natural Gas Price, Delivered to Consumers, Residential and 2 other fieldsHigh correlation
Average Retail Price of Electricity, Total is highly correlated with Natural Gas Price, Delivered to Consumers, Residential and 3 other fieldsHigh correlation
Leaded Regular Gasoline, U.S. City Average Retail Price is highly correlated with Unleaded Regular Gasoline, U.S. City Average Retail Price and 2 other fieldsHigh correlation
Unleaded Regular Gasoline, U.S. City Average Retail Price is highly correlated with Leaded Regular Gasoline, U.S. City Average Retail Price and 6 other fieldsHigh correlation
Unleaded Premium Gasoline, U.S. City Average Retail Price is highly correlated with Leaded Regular Gasoline, U.S. City Average Retail Price and 6 other fieldsHigh correlation
All Grades of Gasoline, U.S. City Average Retail Price is highly correlated with Leaded Regular Gasoline, U.S. City Average Retail Price and 6 other fieldsHigh correlation
Regular Motor Gasoline, Conventional Gasoline Areas, Retail Price is highly correlated with Unleaded Regular Gasoline, U.S. City Average Retail Price and 5 other fieldsHigh correlation
Regular Motor Gasoline, Reformulated Gasoline Areas, Retail Price is highly correlated with Unleaded Regular Gasoline, U.S. City Average Retail Price and 5 other fieldsHigh correlation
Regular Motor Gasoline, All Areas, Retail Price is highly correlated with Unleaded Regular Gasoline, U.S. City Average Retail Price and 5 other fieldsHigh correlation
On-Highway Diesel Fuel Price is highly correlated with Unleaded Regular Gasoline, U.S. City Average Retail Price and 5 other fieldsHigh correlation
Average Sales Price is highly correlated with Median Sales PriceHigh correlation
Median Sales Price is highly correlated with Average Sales PriceHigh correlation
Natural Gas Price, Citygate is highly correlated with Natural Gas Price, Electric Power SectorHigh correlation
Natural Gas Price, Delivered to Consumers, Residential is highly correlated with Natural Gas Price, Delivered to Consumers, CommercialHigh correlation
Natural Gas Price, Delivered to Consumers, Commercial is highly correlated with Natural Gas Price, Delivered to Consumers, Residential and 1 other fieldsHigh correlation
Natural Gas Price, Delivered to Consumers, Industrial is highly correlated with Natural Gas Price, Delivered to Consumers, Commercial and 1 other fieldsHigh correlation
Natural Gas Price, Electric Power Sector is highly correlated with Natural Gas Price, Citygate and 1 other fieldsHigh correlation
Average Retail Price of Electricity, Residential is highly correlated with Average Retail Price of Electricity, Commercial and 1 other fieldsHigh correlation
Average Retail Price of Electricity, Commercial is highly correlated with Average Retail Price of Electricity, Residential and 2 other fieldsHigh correlation
Average Retail Price of Electricity, Industrial is highly correlated with Average Retail Price of Electricity, Commercial and 1 other fieldsHigh correlation
Average Retail Price of Electricity, Total is highly correlated with Average Retail Price of Electricity, Residential and 2 other fieldsHigh correlation
Leaded Regular Gasoline, U.S. City Average Retail Price is highly correlated with Unleaded Regular Gasoline, U.S. City Average Retail Price and 2 other fieldsHigh correlation
Unleaded Regular Gasoline, U.S. City Average Retail Price is highly correlated with Leaded Regular Gasoline, U.S. City Average Retail Price and 6 other fieldsHigh correlation
Unleaded Premium Gasoline, U.S. City Average Retail Price is highly correlated with Leaded Regular Gasoline, U.S. City Average Retail Price and 6 other fieldsHigh correlation
All Grades of Gasoline, U.S. City Average Retail Price is highly correlated with Leaded Regular Gasoline, U.S. City Average Retail Price and 6 other fieldsHigh correlation
Regular Motor Gasoline, Conventional Gasoline Areas, Retail Price is highly correlated with Unleaded Regular Gasoline, U.S. City Average Retail Price and 5 other fieldsHigh correlation
Regular Motor Gasoline, Reformulated Gasoline Areas, Retail Price is highly correlated with Unleaded Regular Gasoline, U.S. City Average Retail Price and 5 other fieldsHigh correlation
Regular Motor Gasoline, All Areas, Retail Price is highly correlated with Unleaded Regular Gasoline, U.S. City Average Retail Price and 5 other fieldsHigh correlation
On-Highway Diesel Fuel Price is highly correlated with Unleaded Regular Gasoline, U.S. City Average Retail Price and 5 other fieldsHigh correlation
Average Sales Price is highly correlated with Median Sales PriceHigh correlation
Median Sales Price is highly correlated with Average Sales PriceHigh correlation
Natural Gas Price, Delivered to Consumers, Industrial is highly correlated with Natural Gas Price, Electric Power SectorHigh correlation
Natural Gas Price, Electric Power Sector is highly correlated with Natural Gas Price, Delivered to Consumers, IndustrialHigh correlation
Average Retail Price of Electricity, Residential is highly correlated with Average Retail Price of Electricity, CommercialHigh correlation
Average Retail Price of Electricity, Commercial is highly correlated with Average Retail Price of Electricity, Residential and 2 other fieldsHigh correlation
Average Retail Price of Electricity, Industrial is highly correlated with Average Retail Price of Electricity, Commercial and 1 other fieldsHigh correlation
Average Retail Price of Electricity, Total is highly correlated with Average Retail Price of Electricity, Commercial and 1 other fieldsHigh correlation
Leaded Regular Gasoline, U.S. City Average Retail Price is highly correlated with Unleaded Regular Gasoline, U.S. City Average Retail Price and 2 other fieldsHigh correlation
Unleaded Regular Gasoline, U.S. City Average Retail Price is highly correlated with Leaded Regular Gasoline, U.S. City Average Retail Price and 5 other fieldsHigh correlation
Unleaded Premium Gasoline, U.S. City Average Retail Price is highly correlated with Leaded Regular Gasoline, U.S. City Average Retail Price and 5 other fieldsHigh correlation
All Grades of Gasoline, U.S. City Average Retail Price is highly correlated with Leaded Regular Gasoline, U.S. City Average Retail Price and 5 other fieldsHigh correlation
Regular Motor Gasoline, Conventional Gasoline Areas, Retail Price is highly correlated with Unleaded Regular Gasoline, U.S. City Average Retail Price and 5 other fieldsHigh correlation
Regular Motor Gasoline, Reformulated Gasoline Areas, Retail Price is highly correlated with Unleaded Regular Gasoline, U.S. City Average Retail Price and 4 other fieldsHigh correlation
Regular Motor Gasoline, All Areas, Retail Price is highly correlated with Unleaded Regular Gasoline, U.S. City Average Retail Price and 4 other fieldsHigh correlation
On-Highway Diesel Fuel Price is highly correlated with Regular Motor Gasoline, Conventional Gasoline Areas, Retail PriceHigh correlation
Average Sales Price is highly correlated with Median Sales PriceHigh correlation
Median Sales Price is highly correlated with Average Sales PriceHigh correlation
Natural Gas Price, Wellhead is highly correlated with Natural Gas Price, Citygate and 3 other fieldsHigh correlation
Natural Gas Price, Citygate is highly correlated with Natural Gas Price, Wellhead and 5 other fieldsHigh correlation
Natural Gas Price, Delivered to Consumers, Residential is highly correlated with Natural Gas Price, Delivered to Consumers, Commercial and 6 other fieldsHigh correlation
Natural Gas Price, Delivered to Consumers, Commercial is highly correlated with Natural Gas Price, Delivered to Consumers, Residential and 4 other fieldsHigh correlation
Natural Gas Price, Delivered to Consumers, Industrial is highly correlated with Natural Gas Price, Citygate and 7 other fieldsHigh correlation
Natural Gas Price, Electric Power Sector is highly correlated with Natural Gas Price, Wellhead and 8 other fieldsHigh correlation
Average Retail Price of Electricity, Residential is highly correlated with Natural Gas Price, Delivered to Consumers, Residential and 5 other fieldsHigh correlation
Average Retail Price of Electricity, Commercial is highly correlated with Natural Gas Price, Wellhead and 10 other fieldsHigh correlation
Average Retail Price of Electricity, Industrial is highly correlated with Natural Gas Price, Citygate and 6 other fieldsHigh correlation
Average Retail Price of Electricity, Transportation is highly correlated with Average Retail Price of Electricity, Commercial and 3 other fieldsHigh correlation
Average Retail Price of Electricity, Total is highly correlated with Natural Gas Price, Citygate and 7 other fieldsHigh correlation
Leaded Regular Gasoline, U.S. City Average Retail Price is highly correlated with Unleaded Regular Gasoline, U.S. City Average Retail Price and 2 other fieldsHigh correlation
Unleaded Regular Gasoline, U.S. City Average Retail Price is highly correlated with Leaded Regular Gasoline, U.S. City Average Retail Price and 6 other fieldsHigh correlation
Unleaded Premium Gasoline, U.S. City Average Retail Price is highly correlated with Leaded Regular Gasoline, U.S. City Average Retail Price and 6 other fieldsHigh correlation
All Grades of Gasoline, U.S. City Average Retail Price is highly correlated with Leaded Regular Gasoline, U.S. City Average Retail Price and 6 other fieldsHigh correlation
Regular Motor Gasoline, Conventional Gasoline Areas, Retail Price is highly correlated with Unleaded Regular Gasoline, U.S. City Average Retail Price and 5 other fieldsHigh correlation
Regular Motor Gasoline, Reformulated Gasoline Areas, Retail Price is highly correlated with Average Retail Price of Electricity, Transportation and 7 other fieldsHigh correlation
Regular Motor Gasoline, All Areas, Retail Price is highly correlated with Average Retail Price of Electricity, Transportation and 7 other fieldsHigh correlation
On-Highway Diesel Fuel Price is highly correlated with Natural Gas Price, Wellhead and 9 other fieldsHigh correlation
Average Sales Price is highly correlated with On-Highway Diesel Fuel Price and 1 other fieldsHigh correlation
Median Sales Price is highly correlated with Average Retail Price of Electricity, Commercial and 4 other fieldsHigh correlation
Leaded Regular Gasoline, U.S. City Average Retail Price has 371 (62.9%) missing values Missing
Date has unique values Unique
Natural Gas Price, Wellhead has 68 (11.5%) zeros Zeros
Natural Gas Price, Citygate has 46 (7.8%) zeros Zeros
Natural Gas Price, Delivered to Consumers, Residential has 46 (7.8%) zeros Zeros
Natural Gas Price, Delivered to Consumers, Commercial has 50 (8.5%) zeros Zeros
Natural Gas Price, Delivered to Consumers, Industrial has 58 (9.8%) zeros Zeros
Natural Gas Price, Electric Power Sector has 56 (9.5%) zeros Zeros
Average Retail Price of Electricity, Residential has 72 (12.2%) zeros Zeros
Average Retail Price of Electricity, Commercial has 82 (13.9%) zeros Zeros
Average Retail Price of Electricity, Industrial has 109 (18.5%) zeros Zeros
Average Retail Price of Electricity, Transportation has 360 (61.0%) zeros Zeros
Average Retail Price of Electricity, Total has 83 (14.1%) zeros Zeros
Unleaded Regular Gasoline, U.S. City Average Retail Price has 47 (8.0%) zeros Zeros
Unleaded Premium Gasoline, U.S. City Average Retail Price has 108 (18.3%) zeros Zeros
All Grades of Gasoline, U.S. City Average Retail Price has 10 (1.7%) zeros Zeros
Regular Motor Gasoline, Conventional Gasoline Areas, Retail Price has 231 (39.2%) zeros Zeros
Regular Motor Gasoline, Reformulated Gasoline Areas, Retail Price has 268 (45.4%) zeros Zeros
Regular Motor Gasoline, All Areas, Retail Price has 234 (39.7%) zeros Zeros
On-Highway Diesel Fuel Price has 269 (45.6%) zeros Zeros
Average Sales Price has 6 (1.0%) zeros Zeros
Median Sales Price has 24 (4.1%) zeros Zeros

Reproduction

Analysis started2022-08-11 21:32:47.907358
Analysis finished2022-08-11 21:33:55.863360
Duration1 minute and 7.96 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

Date
Date

UNIQUE

Distinct590
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
Minimum1973-01-01 00:00:00
Maximum2022-02-01 00:00:00
2022-08-11T14:33:55.923361image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:56.158525image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Natural Gas Price, Wellhead
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Price from source

Distinct405
Distinct (%)69.0%
Missing3
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean0.00778238747
Minimum-0.3577586207
Maximum0.3811728395
Zeros68
Zeros (%)11.5%
Negative217
Negative (%)36.8%
Memory size4.7 KiB
2022-08-11T14:33:56.339547image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.3577586207
5-th percentile-0.1487889273
Q1-0.03771750984
median0.005154639175
Q30.04365148103
95-th percentile0.1521232012
Maximum0.3811728395
Range0.7389314602
Interquartile range (IQR)0.08136899087

Descriptive statistics

Standard deviation0.09745985248
Coefficient of variation (CV)12.52313032
Kurtosis2.3289232
Mean0.00778238747
Median Absolute Deviation (MAD)0.04029990628
Skewness0.4530727916
Sum4.568261445
Variance0.009498422846
MonotonicityNot monotonic
2022-08-11T14:33:56.460544image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
068
 
11.5%
0.105610561110
 
1.7%
0.118081180810
 
1.7%
-0.0524475524510
 
1.7%
0.104247104210
 
1.7%
0.0196850393710
 
1.7%
0.309278350510
 
1.7%
0.0264550264610
 
1.7%
-0.1610
 
1.7%
-0.0853658536610
 
1.7%
Other values (395)429
72.7%
ValueCountFrequency (%)
-0.35775862071
0.2%
-0.2811244981
0.2%
-0.2758620691
0.2%
-0.2690058481
0.2%
-0.26764705881
0.2%
-0.25513196481
0.2%
-0.23911028731
0.2%
-0.22558922561
0.2%
-0.21917808221
0.2%
-0.19565217391
0.2%
ValueCountFrequency (%)
0.38117283951
 
0.2%
0.37821782181
 
0.2%
0.31827111981
 
0.2%
0.31136363641
 
0.2%
0.309278350510
1.7%
0.3041
 
0.2%
0.28865979381
 
0.2%
0.28523489931
 
0.2%
0.24013157891
 
0.2%
0.23958333331
 
0.2%

Natural Gas Price, Citygate
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Point of distribution

Distinct438
Distinct (%)74.6%
Missing3
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean0.006111413662
Minimum-0.675502008
Maximum2.598265896
Zeros46
Zeros (%)7.8%
Negative258
Negative (%)43.7%
Memory size4.7 KiB
2022-08-11T14:33:56.591512image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.675502008
5-th percentile-0.1004912281
Q1-0.02915476676
median0
Q30.02911228116
95-th percentile0.1170901266
Maximum2.598265896
Range3.273767904
Interquartile range (IQR)0.05826704792

Descriptive statistics

Standard deviation0.1311939392
Coefficient of variation (CV)21.46703634
Kurtosis261.5359487
Mean0.006111413662
Median Absolute Deviation (MAD)0.02922077922
Skewness13.02282065
Sum3.58739982
Variance0.01721184968
MonotonicityNot monotonic
2022-08-11T14:33:56.711512image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
046
 
7.8%
0.020304568539
 
1.5%
-0.027363184089
 
1.5%
0.012787723799
 
1.5%
0.0050505050519
 
1.5%
0.010050251269
 
1.5%
0.0099502487569
 
1.5%
-0.091133004939
 
1.5%
0.089430894319
 
1.5%
-0.015113350139
 
1.5%
Other values (428)460
78.0%
ValueCountFrequency (%)
-0.6755020081
0.2%
-0.2815126051
0.2%
-0.26605504591
0.2%
-0.2509293681
0.2%
-0.20538720541
0.2%
-0.18351063831
0.2%
-0.18269230771
0.2%
-0.16642335771
0.2%
-0.16406251
0.2%
-0.15970515971
0.2%
ValueCountFrequency (%)
2.5982658961
0.2%
0.34186746991
0.2%
0.31931464171
0.2%
0.30874785591
0.2%
0.27692307691
0.2%
0.25121951221
0.2%
0.25060240961
0.2%
0.23316062181
0.2%
0.20809248551
0.2%
0.19287833831
0.2%

Natural Gas Price, Delivered to Consumers, Residential
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Average price paid for by residential users

Distinct501
Distinct (%)85.3%
Missing3
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean0.007680265582
Minimum-0.421182266
Maximum1.181818182
Zeros46
Zeros (%)7.8%
Negative219
Negative (%)37.1%
Memory size4.7 KiB
2022-08-11T14:33:56.838511image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.421182266
5-th percentile-0.1580844824
Q1-0.03084124425
median0.006666666667
Q30.04691488425
95-th percentile0.1497163347
Maximum1.181818182
Range1.603000448
Interquartile range (IQR)0.0777561285

Descriptive statistics

Standard deviation0.1103955469
Coefficient of variation (CV)14.3739231
Kurtosis26.35050736
Mean0.007680265582
Median Absolute Deviation (MAD)0.03893809209
Skewness2.355216187
Sum4.508315897
Variance0.01218717677
MonotonicityNot monotonic
2022-08-11T14:33:56.965544image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
046
 
7.8%
0.0067114093966
 
1.0%
0.012690355336
 
1.0%
0.017543859656
 
1.0%
0.0044150110386
 
1.0%
0.0066666666676
 
1.0%
-0.004629629636
 
1.0%
0.039534883726
 
1.0%
-0.13406593415
 
0.8%
-0.0032154340842
 
0.3%
Other values (491)492
83.4%
(Missing)3
 
0.5%
ValueCountFrequency (%)
-0.4211822662
0.3%
-0.36945812811
0.2%
-0.29077190951
0.2%
-0.29017603631
0.2%
-0.27240356081
0.2%
-0.26600985221
0.2%
-0.25361
0.2%
-0.24271844661
0.2%
-0.24057142861
0.2%
-0.23170731711
0.2%
ValueCountFrequency (%)
1.1818181821
0.2%
0.76777790731
0.2%
0.48581675171
0.2%
0.34527363181
0.2%
0.30025445291
0.2%
0.28142848791
0.2%
0.25477707011
0.2%
0.24182444061
0.2%
0.22257053291
0.2%
0.22051773731
0.2%

Natural Gas Price, Delivered to Consumers, Commercial
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Average price paid for by commercial users

Distinct467
Distinct (%)79.6%
Missing3
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean0.00858541731
Minimum-0.6337522442
Maximum2.414634146
Zeros50
Zeros (%)8.5%
Negative255
Negative (%)43.2%
Memory size4.7 KiB
2022-08-11T14:33:57.103545image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.6337522442
5-th percentile-0.06591338251
Q1-0.01813357358
median0
Q30.01974450252
95-th percentile0.06905099693
Maximum2.414634146
Range3.048386391
Interquartile range (IQR)0.0378780761

Descriptive statistics

Standard deviation0.149908361
Coefficient of variation (CV)17.4608124
Kurtosis142.6425435
Mean0.00858541731
Median Absolute Deviation (MAD)0.01896207585
Skewness9.692519944
Sum5.039639961
Variance0.0224725167
MonotonicityNot monotonic
2022-08-11T14:33:57.223509image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
050
 
8.5%
-0.0232142857110
 
1.7%
0.0091074681249
 
1.5%
0.0054151624559
 
1.5%
0.010968921399
 
1.5%
0.016274864388
 
1.4%
-0.02313167268
 
1.4%
-0.0088183421528
 
1.4%
0.0088967971538
 
1.4%
-0.0020833333332
 
0.3%
Other values (457)466
79.0%
(Missing)3
 
0.5%
ValueCountFrequency (%)
-0.63375224422
0.3%
-0.59964093361
0.2%
-0.50987432681
0.2%
-0.39138240571
0.2%
-0.28186714541
0.2%
-0.19607843141
0.2%
-0.13464991021
0.2%
-0.10268378061
0.2%
-0.10177514791
0.2%
-0.099462365591
0.2%
ValueCountFrequency (%)
2.4146341461
0.2%
1.6126651161
0.2%
1.1157541141
0.2%
0.77765610381
0.2%
0.53214774281
0.2%
0.34667011221
0.2%
0.20125005411
0.2%
0.1869104951
0.2%
0.15853658541
0.2%
0.15392513031
0.2%

Natural Gas Price, Delivered to Consumers, Industrial
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Average price paid for by industrial users

Distinct467
Distinct (%)79.6%
Missing3
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean0.01170381404
Minimum-0.6503496503
Maximum2.338709677
Zeros58
Zeros (%)9.8%
Negative270
Negative (%)45.8%
Memory size4.7 KiB
2022-08-11T14:33:57.356507image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.6503496503
5-th percentile-0.1224254667
Q1-0.03645833333
median0
Q30.03684753093
95-th percentile0.1540738575
Maximum2.338709677
Range2.989059328
Interquartile range (IQR)0.07330586426

Descriptive statistics

Standard deviation0.1725000132
Coefficient of variation (CV)14.73878623
Kurtosis76.83925569
Mean0.01170381404
Median Absolute Deviation (MAD)0.03680981595
Skewness6.516455907
Sum6.87013884
Variance0.02975625455
MonotonicityNot monotonic
2022-08-11T14:33:57.471556image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
058
 
9.8%
-0.004640371239
 
1.5%
0.0024154589379
 
1.5%
0.021686746999
 
1.5%
-0.016509433969
 
1.5%
0.0095923261399
 
1.5%
0.0095011876489
 
1.5%
0.014117647068
 
1.4%
0.037037037042
 
0.3%
0.23529411762
 
0.3%
Other values (457)463
78.5%
(Missing)3
 
0.5%
ValueCountFrequency (%)
-0.65034965032
0.3%
-0.60372960371
0.2%
-0.53613053611
0.2%
-0.52840300111
0.2%
-0.40326340331
0.2%
-0.27932285371
0.2%
-0.26806526811
0.2%
-0.22664624811
0.2%
-0.22052704581
0.2%
-0.20095693781
0.2%
ValueCountFrequency (%)
2.3387096771
0.2%
1.5899208491
0.2%
1.2923832921
0.2%
1.1154732631
0.2%
0.78794046051
0.2%
0.54766355141
0.2%
0.37722419931
0.2%
0.36475817641
0.2%
0.32533733131
0.2%
0.29218751
0.2%

Natural Gas Price, Electric Power Sector
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct501
Distinct (%)85.3%
Missing3
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean0.01168303859
Minimum-0.7912829957
Maximum3.891891892
Zeros56
Zeros (%)9.5%
Negative258
Negative (%)43.7%
Memory size4.7 KiB
2022-08-11T14:33:57.597578image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.7912829957
5-th percentile-0.1400141958
Q1-0.04034477656
median0
Q30.04043948556
95-th percentile0.1616301599
Maximum3.891891892
Range4.683174888
Interquartile range (IQR)0.08078426212

Descriptive statistics

Standard deviation0.1901297453
Coefficient of variation (CV)16.27399788
Kurtosis297.3665074
Mean0.01168303859
Median Absolute Deviation (MAD)0.04036697248
Skewness14.589217
Sum6.857943654
Variance0.03614932005
MonotonicityNot monotonic
2022-08-11T14:33:57.723586image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
056
 
9.5%
0.016304347835
 
0.8%
0.064516129034
 
0.7%
0.024242424244
 
0.7%
0.010695187174
 
0.7%
0.037037037044
 
0.7%
-0.045918367354
 
0.7%
0.016042780754
 
0.7%
-0.18421052633
 
0.5%
0.067567567572
 
0.3%
Other values (491)497
84.2%
(Missing)3
 
0.5%
ValueCountFrequency (%)
-0.79128299571
0.2%
-0.30297397771
0.2%
-0.26847290641
0.2%
-0.26095617531
0.2%
-0.24816753931
0.2%
-0.23687943261
0.2%
-0.23398804441
0.2%
-0.2289562291
0.2%
-0.21893491122
0.3%
-0.1969696971
0.2%
ValueCountFrequency (%)
3.8918918921
0.2%
0.73584905661
0.2%
0.53258845441
0.2%
0.45988258321
0.2%
0.41207349081
0.2%
0.39393939391
0.2%
0.3216560511
0.2%
0.30921052631
0.2%
0.29861111111
0.2%
0.28270042191
0.2%

Average Retail Price of Electricity, Residential
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Price paid by residential homes

Distinct504
Distinct (%)85.9%
Missing3
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean0.002568452011
Minimum-0.07142857143
Maximum0.08108108108
Zeros72
Zeros (%)12.2%
Negative221
Negative (%)37.5%
Memory size4.7 KiB
2022-08-11T14:33:57.848553image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.07142857143
5-th percentile-0.03798298307
Q1-0.01253597738
median0.0007513148009
Q30.01852996383
95-th percentile0.04226561888
Maximum0.08108108108
Range0.1525096525
Interquartile range (IQR)0.03106594121

Descriptive statistics

Standard deviation0.02381949989
Coefficient of variation (CV)9.273873831
Kurtosis-0.0615704089
Mean0.002568452011
Median Absolute Deviation (MAD)0.01544058034
Skewness-0.04543231463
Sum1.50768133
Variance0.0005673685748
MonotonicityNot monotonic
2022-08-11T14:33:57.970556image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
072
 
12.2%
0.027777777783
 
0.5%
0.02439024393
 
0.5%
0.046511627912
 
0.3%
0.04878048782
 
0.3%
-0.028985507252
 
0.3%
0.042553191492
 
0.3%
0.029850746272
 
0.3%
0.0252
 
0.3%
0.081081081082
 
0.3%
Other values (494)495
83.9%
(Missing)3
 
0.5%
ValueCountFrequency (%)
-0.071428571431
0.2%
-0.062785388131
0.2%
-0.052631578951
0.2%
-0.051282051281
0.2%
-0.050204918031
0.2%
-0.049036777581
0.2%
-0.048442906571
0.2%
-0.048192771081
0.2%
-0.048165137611
0.2%
-0.047619047621
0.2%
ValueCountFrequency (%)
0.081081081082
0.3%
0.058823529411
0.2%
0.056287425151
0.2%
0.054545454551
0.2%
0.054005400541
0.2%
0.052890528911
0.2%
0.052009456261
0.2%
0.051282051281
0.2%
0.051
0.2%
0.049286640731
0.2%

Average Retail Price of Electricity, Commercial
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Price paid by commercial entities

Distinct485
Distinct (%)82.6%
Missing3
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean0.002064932201
Minimum-0.09756097561
Maximum0.1163918526
Zeros82
Zeros (%)13.9%
Negative218
Negative (%)36.9%
Memory size4.7 KiB
2022-08-11T14:33:58.222552image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.09756097561
5-th percentile-0.02991815315
Q1-0.009372277033
median0
Q30.01488138575
95-th percentile0.03533535115
Maximum0.1163918526
Range0.2139528282
Interquartile range (IQR)0.02425366279

Descriptive statistics

Standard deviation0.02112514168
Coefficient of variation (CV)10.23042871
Kurtosis2.408305875
Mean0.002064932201
Median Absolute Deviation (MAD)0.01313131313
Skewness0.2299681742
Sum1.212115202
Variance0.0004462716111
MonotonicityNot monotonic
2022-08-11T14:33:58.342550image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
082
 
13.9%
0.014492753623
 
0.5%
0.022727272733
 
0.5%
0.023255813952
 
0.3%
0.0074906367042
 
0.3%
0.0050314465412
 
0.3%
0.011009174312
 
0.3%
0.014285714292
 
0.3%
0.014705882352
 
0.3%
0.031746031752
 
0.3%
Other values (475)485
82.2%
(Missing)3
 
0.5%
ValueCountFrequency (%)
-0.097560975611
0.2%
-0.065296251511
0.2%
-0.051767676771
0.2%
-0.048148148151
0.2%
-0.045569620251
0.2%
-0.045454545451
0.2%
-0.0451
0.2%
-0.044354838711
0.2%
-0.043533930861
0.2%
-0.043024771841
0.2%
ValueCountFrequency (%)
0.11639185261
0.2%
0.08159203981
0.2%
0.073170731711
0.2%
0.07158351411
0.2%
0.062578222781
0.2%
0.062068965521
0.2%
0.057074910821
0.2%
0.047146401991
0.2%
0.047115384621
0.2%
0.046332046331
0.2%

Average Retail Price of Electricity, Industrial
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Price paid by industrial companies

Distinct462
Distinct (%)78.7%
Missing3
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean0.002264917023
Minimum-0.1075949367
Maximum0.2363067293
Zeros109
Zeros (%)18.5%
Negative242
Negative (%)41.0%
Memory size4.7 KiB
2022-08-11T14:33:58.465590image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.1075949367
5-th percentile-0.04101428551
Q1-0.01295335066
median0
Q30.01759572825
95-th percentile0.04998936521
Maximum0.2363067293
Range0.343901666
Interquartile range (IQR)0.03054907891

Descriptive statistics

Standard deviation0.02862731195
Coefficient of variation (CV)12.63945286
Kurtosis7.559791638
Mean0.002264917023
Median Absolute Deviation (MAD)0.01486199575
Skewness1.097573615
Sum1.329506292
Variance0.0008195229896
MonotonicityNot monotonic
2022-08-11T14:33:58.593589image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0109
 
18.5%
0.041666666673
 
0.5%
-0.012448132782
 
0.3%
0.020408163272
 
0.3%
-0.034707158352
 
0.3%
-0.022
 
0.3%
0.0023201856152
 
0.3%
0.022727272732
 
0.3%
0.061162079512
 
0.3%
0.0099206349212
 
0.3%
Other values (452)459
77.8%
(Missing)3
 
0.5%
ValueCountFrequency (%)
-0.10759493671
0.2%
-0.081
0.2%
-0.063872255491
0.2%
-0.061601642711
0.2%
-0.057422969191
0.2%
-0.055335968381
0.2%
-0.053146853151
0.2%
-0.052919708031
0.2%
-0.05059523811
0.2%
-0.050215208031
0.2%
ValueCountFrequency (%)
0.23630672931
0.2%
0.088888888891
0.2%
0.084947839051
0.2%
0.081991215231
0.2%
0.081180811811
0.2%
0.074074074071
0.2%
0.074074074071
0.2%
0.07001522071
0.2%
0.068862275451
0.2%
0.068333333331
0.2%

Average Retail Price of Electricity, Transportation
Real number (ℝ)

HIGH CORRELATION
ZEROS

Price paid by electrical transportation users

Distinct225
Distinct (%)38.3%
Missing3
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean0.000996967787
Minimum-0.1494252874
Maximum0.1769722814
Zeros360
Zeros (%)61.0%
Negative118
Negative (%)20.0%
Memory size4.7 KiB
2022-08-11T14:33:58.746552image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.1494252874
5-th percentile-0.03652227689
Q10
median0
Q30
95-th percentile0.04759168213
Maximum0.1769722814
Range0.3263975688
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02700254017
Coefficient of variation (CV)27.08466665
Kurtosis10.5059084
Mean0.000996967787
Median Absolute Deviation (MAD)0
Skewness0.6390908978
Sum0.585220091
Variance0.0007291371756
MonotonicityNot monotonic
2022-08-11T14:33:58.869555image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0360
61.0%
0.03537981272
 
0.3%
-0.027645376552
 
0.3%
-0.013477088952
 
0.3%
-0.01053740781
 
0.2%
-0.029561671761
 
0.2%
-0.035271687321
 
0.2%
-0.035573122531
 
0.2%
0.01127049181
 
0.2%
0.028368794331
 
0.2%
Other values (215)215
36.4%
(Missing)3
 
0.5%
ValueCountFrequency (%)
-0.14942528741
0.2%
-0.14673913041
0.2%
-0.1132713441
0.2%
-0.088449531741
0.2%
-0.088154269971
0.2%
-0.079749103941
0.2%
-0.076846307391
0.2%
-0.069832402231
0.2%
-0.068058076231
0.2%
-0.066945606691
0.2%
ValueCountFrequency (%)
0.17697228141
0.2%
0.13440860221
0.2%
0.13301435411
0.2%
0.11095505621
0.2%
0.11058823531
0.2%
0.09980039921
0.2%
0.097345132741
0.2%
0.093093093091
0.2%
0.089456869011
0.2%
0.079689018461
0.2%

Average Retail Price of Electricity, Total
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Cumulative mean of all categories

Distinct486
Distinct (%)82.8%
Missing3
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean0.002395868601
Minimum-0.1176470588
Maximum0.1003861004
Zeros83
Zeros (%)14.1%
Negative251
Negative (%)42.5%
Memory size4.7 KiB
2022-08-11T14:33:59.009556image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.1176470588
5-th percentile-0.035626703
Q1-0.009201204252
median0
Q30.01679137836
95-th percentile0.0432530731
Maximum0.1003861004
Range0.2180331592
Interquartile range (IQR)0.02599258262

Descriptive statistics

Standard deviation0.02349735421
Coefficient of variation (CV)9.807446954
Kurtosis1.564388345
Mean0.002395868601
Median Absolute Deviation (MAD)0.01422997475
Skewness0.1215210626
Sum1.406374869
Variance0.0005521256551
MonotonicityNot monotonic
2022-08-11T14:33:59.133026image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
083
 
14.1%
0.032258064525
 
0.8%
0.0156253
 
0.5%
0.016393442623
 
0.5%
-0.0045454545452
 
0.3%
0.031252
 
0.3%
0.022
 
0.3%
0.014807502472
 
0.3%
0.03030303032
 
0.3%
0.027027027032
 
0.3%
Other values (476)481
81.5%
(Missing)3
 
0.5%
ValueCountFrequency (%)
-0.11764705881
0.2%
-0.057262569831
0.2%
-0.055181695831
0.2%
-0.050682261211
0.2%
-0.049625468161
0.2%
-0.046961325971
0.2%
-0.046424090341
0.2%
-0.046268656721
0.2%
-0.046137339061
0.2%
-0.045244690671
0.2%
ValueCountFrequency (%)
0.10038610041
0.2%
0.084477296731
0.2%
0.068877551021
0.2%
0.067738231921
0.2%
0.06521739131
0.2%
0.063253012051
0.2%
0.063002680971
0.2%
0.058823529411
0.2%
0.057182705721
0.2%
0.057142857141
0.2%

Leaded Regular Gasoline, U.S. City Average Retail Price
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Price of leaded fuel, 0 when discontinued

Distinct206
Distinct (%)94.1%
Missing371
Missing (%)62.9%
Infinite0
Infinite (%)0.0%
Mean0.004504272223
Minimum-0.2690909091
Maximum0.1543550165
Zeros5
Zeros (%)0.8%
Negative100
Negative (%)16.9%
Memory size4.7 KiB
2022-08-11T14:33:59.261611image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.2690909091
5-th percentile-0.04420033716
Q1-0.009553265238
median0.001646090535
Q30.01741161616
95-th percentile0.06418391418
Maximum0.1543550165
Range0.4234459256
Interquartile range (IQR)0.0269648814

Descriptive statistics

Standard deviation0.03727009144
Coefficient of variation (CV)8.274386981
Kurtosis14.54587342
Mean0.004504272223
Median Absolute Deviation (MAD)0.01316070524
Skewness-1.669735343
Sum0.9864356168
Variance0.001389059716
MonotonicityNot monotonic
2022-08-11T14:33:59.375642image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05
 
0.8%
0.075356415482
 
0.3%
0.017045454552
 
0.3%
0.024208566112
 
0.3%
0.010909090912
 
0.3%
0.0035971223022
 
0.3%
-0.0071684587812
 
0.3%
-0.0072202166062
 
0.3%
0.055913978492
 
0.3%
0.0075757575762
 
0.3%
Other values (196)196
33.2%
(Missing)371
62.9%
ValueCountFrequency (%)
-0.26909090911
0.2%
-0.13539651841
0.2%
-0.088366890381
0.2%
-0.087479935791
0.2%
-0.079155672821
0.2%
-0.071186440681
0.2%
-0.066666666671
0.2%
-0.065943992771
0.2%
-0.053527980541
0.2%
-0.048092868991
0.2%
ValueCountFrequency (%)
0.15435501651
0.2%
0.10009182741
0.2%
0.082637729551
0.2%
0.075356415482
0.3%
0.074027603511
0.2%
0.067219152851
0.2%
0.067043618741
0.2%
0.066797642441
0.2%
0.066572237961
0.2%
0.065180102921
0.2%

Unleaded Regular Gasoline, U.S. City Average Retail Price
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Price of unleaded fuel, 0 when leaded was used

Distinct543
Distinct (%)92.2%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.004207581899
Minimum-0.3220926568
Maximum0.1876892028
Zeros47
Zeros (%)8.0%
Negative262
Negative (%)44.4%
Memory size4.7 KiB
2022-08-11T14:33:59.494641image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.3220926568
5-th percentile-0.06443825539
Q1-0.01536885246
median0
Q30.02412280702
95-th percentile0.0887616381
Maximum0.1876892028
Range0.5097818596
Interquartile range (IQR)0.03949165948

Descriptive statistics

Standard deviation0.04805706023
Coefficient of variation (CV)11.42153887
Kurtosis5.633863761
Mean0.004207581899
Median Absolute Deviation (MAD)0.0185840708
Skewness-0.5032321988
Sum2.478265739
Variance0.002309481038
MonotonicityNot monotonic
2022-08-11T14:33:59.637608image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
047
 
8.0%
0.0048372911171
 
0.2%
-0.0046682227411
 
0.2%
-0.13266331661
 
0.2%
-0.12244109691
 
0.2%
-0.01364436621
 
0.2%
0.041499330661
 
0.2%
-0.025706940871
 
0.2%
0.13435448581
 
0.2%
0.10339506171
 
0.2%
Other values (533)533
90.3%
ValueCountFrequency (%)
-0.32209265681
0.2%
-0.21478382151
0.2%
-0.175781251
0.2%
-0.17247463611
0.2%
-0.15870736091
0.2%
-0.14196863171
0.2%
-0.13266331661
0.2%
-0.12410714291
0.2%
-0.12244109691
0.2%
-0.11326636651
0.2%
ValueCountFrequency (%)
0.18768920281
0.2%
0.16799680771
0.2%
0.1615894041
0.2%
0.14827155351
0.2%
0.13435448581
0.2%
0.13376309431
0.2%
0.13297872341
0.2%
0.12563915271
0.2%
0.11967161351
0.2%
0.11818910261
0.2%

Unleaded Premium Gasoline, U.S. City Average Retail Price
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Price of premium unleaded fuel

Distinct482
Distinct (%)81.8%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.002654313063
Minimum-0.2910839161
Maximum0.1588300629
Zeros108
Zeros (%)18.3%
Negative244
Negative (%)41.4%
Memory size4.7 KiB
2022-08-11T14:33:59.896607image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.2910839161
5-th percentile-0.05602131401
Q1-0.01209398756
median0
Q30.0145482389
95-th percentile0.07309994426
Maximum0.1588300629
Range0.449913979
Interquartile range (IQR)0.02664222646

Descriptive statistics

Standard deviation0.04092613659
Coefficient of variation (CV)15.41873005
Kurtosis7.210306823
Mean0.002654313063
Median Absolute Deviation (MAD)0.01304106548
Skewness-0.538312422
Sum1.563390394
Variance0.001674948656
MonotonicityNot monotonic
2022-08-11T14:34:00.079608image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0108
 
18.3%
0.0031987205121
 
0.2%
0.14814814811
 
0.2%
0.08748375921
 
0.2%
0.050978607191
 
0.2%
0.0068744271311
 
0.2%
0.071709233791
 
0.2%
0.043567401331
 
0.2%
-0.198109331
 
0.2%
-0.29108391611
 
0.2%
Other values (472)472
80.0%
ValueCountFrequency (%)
-0.29108391611
0.2%
-0.198109331
0.2%
-0.15068027211
0.2%
-0.14695101631
0.2%
-0.12893401021
0.2%
-0.1265122711
0.2%
-0.12098534461
0.2%
-0.11564384531
0.2%
-0.098883572571
0.2%
-0.098712446351
0.2%
ValueCountFrequency (%)
0.15883006291
0.2%
0.1526138281
0.2%
0.14814814811
0.2%
0.13983864771
0.2%
0.12315663611
0.2%
0.11862068971
0.2%
0.11185747661
0.2%
0.1108961961
0.2%
0.10640732271
0.2%
0.10390516041
0.2%

All Grades of Gasoline, U.S. City Average Retail Price
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Cumulative of all grades of gasoline

Distinct523
Distinct (%)88.8%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.00413721837
Minimum-0.3153488372
Maximum0.1755725191
Zeros10
Zeros (%)1.7%
Negative265
Negative (%)44.9%
Memory size4.7 KiB
2022-08-11T14:34:00.237612image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.3153488372
5-th percentile-0.07142448752
Q1-0.01534296029
median0.0022172949
Q30.02257114818
95-th percentile0.08240010469
Maximum0.1755725191
Range0.4909213563
Interquartile range (IQR)0.03791410847

Descriptive statistics

Standard deviation0.0472628953
Coefficient of variation (CV)11.42383386
Kurtosis5.431109133
Mean0.00413721837
Median Absolute Deviation (MAD)0.01803744478
Skewness-0.5593922363
Sum2.43682162
Variance0.002233781272
MonotonicityNot monotonic
2022-08-11T14:34:00.525610image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
010
 
1.7%
0.0074515648296
 
1.0%
0.015503875976
 
1.0%
0.013313609476
 
1.0%
0.0029895366226
 
1.0%
0.012213740466
 
1.0%
0.0090497737566
 
1.0%
0.01255886976
 
1.0%
0.0095087163236
 
1.0%
0.0031796502386
 
1.0%
Other values (513)525
89.0%
ValueCountFrequency (%)
-0.31534883721
0.2%
-0.21105072461
0.2%
-0.17112299471
0.2%
-0.16623821771
0.2%
-0.15653710251
0.2%
-0.13977060551
0.2%
-0.13056379821
0.2%
-0.12153708671
0.2%
-0.12059158131
0.2%
-0.11103565371
0.2%
ValueCountFrequency (%)
0.17557251911
0.2%
0.16522762951
0.2%
0.15859982711
0.2%
0.14607201311
0.2%
0.13116159451
0.2%
0.12764350451
0.2%
0.12731006161
0.2%
0.12095639941
0.2%
0.1205936921
0.2%
0.11788491451
0.2%

Regular Motor Gasoline, Conventional Gasoline Areas, Retail Price
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Price of fuel, non-blended

Distinct358
Distinct (%)60.8%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.003101599985
Minimum-0.3026578073
Maximum0.1686402613
Zeros231
Zeros (%)39.2%
Negative175
Negative (%)29.7%
Memory size4.7 KiB
2022-08-11T14:34:00.746758image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.3026578073
5-th percentile-0.05884661255
Q1-0.006500541712
median0
Q30.01139410188
95-th percentile0.08756576194
Maximum0.1686402613
Range0.4712980686
Interquartile range (IQR)0.01789464359

Descriptive statistics

Standard deviation0.0454042046
Coefficient of variation (CV)14.63896209
Kurtosis6.921588822
Mean0.003101599985
Median Absolute Deviation (MAD)0.007518796992
Skewness-0.6962845448
Sum1.826842391
Variance0.002061541796
MonotonicityNot monotonic
2022-08-11T14:34:00.927753image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0231
39.2%
-0.014842300562
 
0.3%
-0.024819624821
 
0.2%
-0.048860828991
 
0.2%
-0.050560333591
 
0.2%
0.016693163751
 
0.2%
0.073073642311
 
0.2%
0.056156156161
 
0.2%
0.034161490681
 
0.2%
-0.033033033031
 
0.2%
Other values (348)348
59.0%
ValueCountFrequency (%)
-0.30265780731
0.2%
-0.20485945691
0.2%
-0.19049858891
0.2%
-0.18846050151
0.2%
-0.17765273311
0.2%
-0.17367050951
0.2%
-0.15405046481
0.2%
-0.14054982821
0.2%
-0.13460869571
0.2%
-0.13436692511
0.2%
ValueCountFrequency (%)
0.16864026131
0.2%
0.1593751
0.2%
0.14360041621
0.2%
0.12976782751
0.2%
0.12945166761
0.2%
0.12730517551
0.2%
0.12681309571
0.2%
0.12018348621
0.2%
0.11991051451
0.2%
0.11912450661
0.2%

Regular Motor Gasoline, Reformulated Gasoline Areas, Retail Price
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Price of fuel, blended

Distinct321
Distinct (%)54.5%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.002973620597
Minimum-0.2840764331
Maximum0.1773729626
Zeros268
Zeros (%)45.4%
Negative159
Negative (%)26.9%
Memory size4.7 KiB
2022-08-11T14:34:01.097753image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.2840764331
5-th percentile-0.05737624959
Q1-0.003037462032
median0
Q30.003734129948
95-th percentile0.08412750546
Maximum0.1773729626
Range0.4614493957
Interquartile range (IQR)0.006771591979

Descriptive statistics

Standard deviation0.04388867677
Coefficient of variation (CV)14.75933978
Kurtosis6.888966401
Mean0.002973620597
Median Absolute Deviation (MAD)0.003590664273
Skewness-0.3466812097
Sum1.751462532
Variance0.001926215948
MonotonicityNot monotonic
2022-08-11T14:34:01.317721image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0268
45.4%
-0.014652014652
 
0.3%
0.0081775700931
 
0.2%
-0.014396161021
 
0.2%
0.0053604931651
 
0.2%
0.0029569892471
 
0.2%
0.0016155088851
 
0.2%
-0.034070221071
 
0.2%
0.0099816128181
 
0.2%
0.1028389341
 
0.2%
Other values (311)311
52.7%
ValueCountFrequency (%)
-0.28407643311
0.2%
-0.23220640571
0.2%
-0.161
0.2%
-0.15072933551
0.2%
-0.14866390671
0.2%
-0.14835909951
0.2%
-0.13488197831
0.2%
-0.12203947371
0.2%
-0.11785714291
0.2%
-0.11161335191
0.2%
ValueCountFrequency (%)
0.17737296261
0.2%
0.16653666151
0.2%
0.16515739541
0.2%
0.14717141641
0.2%
0.13871889021
0.2%
0.1350780921
0.2%
0.13093901981
0.2%
0.12868439971
0.2%
0.12504665921
0.2%
0.12478485371
0.2%

Regular Motor Gasoline, All Areas, Retail Price
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Cumulative mean of all categories

Distinct355
Distinct (%)60.3%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.003114402183
Minimum-0.2962962963
Maximum0.1677393403
Zeros234
Zeros (%)39.7%
Negative176
Negative (%)29.8%
Memory size4.7 KiB
2022-08-11T14:34:01.515720image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.2962962963
5-th percentile-0.05720505262
Q1-0.006986899563
median0
Q30.01017576318
95-th percentile0.08442319288
Maximum0.1677393403
Range0.4640356366
Interquartile range (IQR)0.01716266275

Descriptive statistics

Standard deviation0.0445111111
Coefficient of variation (CV)14.29202412
Kurtosis6.869052559
Mean0.003114402183
Median Absolute Deviation (MAD)0.007694421544
Skewness-0.6089538928
Sum1.834382886
Variance0.001981239011
MonotonicityNot monotonic
2022-08-11T14:34:01.693719image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0234
39.7%
-0.014842300562
 
0.3%
0.034121440091
 
0.2%
0.082291363771
 
0.2%
-0.028256569651
 
0.2%
-0.051714898181
 
0.2%
-0.043076923081
 
0.2%
0.012461059191
 
0.2%
0.076278290031
 
0.2%
0.058875739641
 
0.2%
Other values (345)345
58.5%
ValueCountFrequency (%)
-0.29629629631
0.2%
-0.21425244531
0.2%
-0.1760734541
0.2%
-0.17591763651
0.2%
-0.16930437981
0.2%
-0.16791191511
0.2%
-0.13600525621
0.2%
-0.13448509491
0.2%
-0.1267170331
0.2%
-0.12133072411
0.2%
ValueCountFrequency (%)
0.16773934031
0.2%
0.16107678731
0.2%
0.15173116091
0.2%
0.13072164951
0.2%
0.12510974541
0.2%
0.12355057981
0.2%
0.12118491921
0.2%
0.11849479581
0.2%
0.11621315191
0.2%
0.1133689841
0.2%

On-Highway Diesel Fuel Price
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Price for diesel fuel

Distinct320
Distinct (%)54.3%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.002766624544
Minimum-0.1957494407
Maximum0.1492448919
Zeros269
Zeros (%)45.6%
Negative145
Negative (%)24.6%
Memory size4.7 KiB
2022-08-11T14:34:01.860754image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.1957494407
5-th percentile-0.04792421141
Q10
median0
Q30.006091846298
95-th percentile0.06162450443
Maximum0.1492448919
Range0.3449943326
Interquartile range (IQR)0.006091846298

Descriptive statistics

Standard deviation0.03321993668
Coefficient of variation (CV)12.00738884
Kurtosis6.580821023
Mean0.002766624544
Median Absolute Deviation (MAD)0.004183070866
Skewness-0.2921086793
Sum1.629541856
Variance0.001103564193
MonotonicityNot monotonic
2022-08-11T14:34:02.015720image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0269
45.6%
0.036144578312
 
0.3%
-0.02296042991
 
0.2%
-0.0054263565891
 
0.2%
-0.015267175571
 
0.2%
-0.033923303831
 
0.2%
-0.010459742161
 
0.2%
0.051675620361
 
0.2%
-0.013127997981
 
0.2%
-0.009751
 
0.2%
Other values (310)310
52.5%
ValueCountFrequency (%)
-0.19574944071
0.2%
-0.16865912761
0.2%
-0.14847009741
0.2%
-0.12137203171
0.2%
-0.1113320081
0.2%
-0.10245901641
0.2%
-0.09832775921
0.2%
-0.094861660081
0.2%
-0.086478563581
0.2%
-0.086042692941
0.2%
ValueCountFrequency (%)
0.14924489191
0.2%
0.13560844191
0.2%
0.12761
0.2%
0.11664392911
0.2%
0.11319770471
0.2%
0.11155913981
0.2%
0.10713031261
0.2%
0.10439024391
0.2%
0.097907059241
0.2%
0.092254563391
0.2%

Average Sales Price
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Average price of homes sold in $

Distinct580
Distinct (%)99.1%
Missing5
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean0.004635348675
Minimum-0.02479129775
Maximum0.02839796318
Zeros6
Zeros (%)1.0%
Negative180
Negative (%)30.5%
Memory size4.7 KiB
2022-08-11T14:34:02.189509image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.02479129775
5-th percentile-0.01005261016
Q1-0.002014775017
median0.004144218815
Q30.01145767027
95-th percentile0.02025750926
Maximum0.02839796318
Range0.05318926093
Interquartile range (IQR)0.01347244529

Descriptive statistics

Standard deviation0.00955170817
Coefficient of variation (CV)2.060623448
Kurtosis0.02128062945
Mean0.004635348675
Median Absolute Deviation (MAD)0.006566589364
Skewness-0.2492147217
Sum2.711678975
Variance9.123512897 × 10-5
MonotonicityNot monotonic
2022-08-11T14:34:02.359450image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
06
 
1.0%
0.012420275261
 
0.2%
0.0078142955641
 
0.2%
0.0077537058151
 
0.2%
-0.0004525910841
 
0.2%
-0.00045279601541
 
0.2%
-0.00045300113251
 
0.2%
0.012576478591
 
0.2%
0.012267904511
 
0.2%
-0.00081009142461
 
0.2%
Other values (570)570
96.6%
(Missing)5
 
0.8%
ValueCountFrequency (%)
-0.024791297751
0.2%
-0.024191557641
0.2%
-0.023620149431
0.2%
-0.021846984071
0.2%
-0.021843549861
0.2%
-0.021379897791
0.2%
-0.021376608841
0.2%
-0.020932365941
0.2%
-0.020929213241
0.2%
-0.020086352541
0.2%
ValueCountFrequency (%)
0.028397963181
0.2%
0.027613787851
0.2%
0.026871756861
0.2%
0.025033377841
0.2%
0.024512029051
0.2%
0.024422012371
0.2%
0.023925564911
0.2%
0.023839796571
0.2%
0.023669167561
0.2%
0.023488640741
0.2%

Median Sales Price
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Median price of homes sold in $

Distinct556
Distinct (%)95.0%
Missing5
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean0.004506359036
Minimum-0.02716186253
Maximum0.03428794078
Zeros24
Zeros (%)4.1%
Negative174
Negative (%)29.5%
Memory size4.7 KiB
2022-08-11T14:34:02.522422image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.02716186253
5-th percentile-0.01093714769
Q1-0.001828989483
median0.00495049505
Q30.01067073171
95-th percentile0.01995527768
Maximum0.03428794078
Range0.0614498033
Interquartile range (IQR)0.01249972119

Descriptive statistics

Standard deviation0.009586911592
Coefficient of variation (CV)2.127418502
Kurtosis0.451691527
Mean0.004506359036
Median Absolute Deviation (MAD)0.00612704775
Skewness-0.1560148834
Sum2.636220036
Variance9.190887387 × 10-5
MonotonicityNot monotonic
2022-08-11T14:34:02.683418image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
024
 
4.1%
0.0099009900992
 
0.3%
0.015151515152
 
0.3%
0.014705882352
 
0.3%
0.0078740157482
 
0.3%
0.00781252
 
0.3%
0.0077519379842
 
0.3%
-0.014912891991
 
0.2%
0.013865308431
 
0.2%
0.013675690761
 
0.2%
Other values (546)546
92.5%
(Missing)5
 
0.8%
ValueCountFrequency (%)
-0.027161862531
0.2%
-0.026443604961
0.2%
-0.025762355421
0.2%
-0.022055373061
0.2%
-0.021579430671
0.2%
-0.021123595511
0.2%
-0.02049069831
0.2%
-0.020079260241
0.2%
-0.019685039371
0.2%
-0.019684019681
0.2%
ValueCountFrequency (%)
0.034287940781
0.2%
0.033151252591
0.2%
0.032087511391
0.2%
0.027593818981
0.2%
0.02685284641
0.2%
0.026150627621
0.2%
0.026081712651
0.2%
0.025418748161
0.2%
0.024917232971
0.2%
0.024788651671
0.2%

Interactions

2022-08-11T14:33:48.965103image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:32:53.184325image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:32:56.636353image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:32:59.051016image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:01.616618image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:04.240648image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:06.888679image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:09.233712image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:12.224713image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:15.033715image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:18.150681image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:21.393181image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:24.010386image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:26.161382image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
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2022-08-11T14:33:34.252741image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:37.454751image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:40.195776image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:42.646800image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:45.665957image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:48.568101image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:52.492642image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:32:56.520357image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:32:58.938026image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:01.496615image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:04.030679image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:06.780649image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:09.130710image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:11.945676image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:14.902678image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:18.006708image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:21.251163image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:23.906387image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:26.068356image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:28.472446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:31.394448image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:34.383741image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:37.614745image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:40.300741image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:42.779830image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:45.800957image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-08-11T14:33:48.775100image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Correlations

2022-08-11T14:34:02.970469image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-08-11T14:34:03.523500image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-08-11T14:34:04.061496image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-08-11T14:34:04.581466image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-08-11T14:33:52.934173image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
A simple visualization of nullity by column.
2022-08-11T14:33:53.914210image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-08-11T14:33:54.911214image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2022-08-11T14:33:55.605361image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

DateNatural Gas Price, WellheadNatural Gas Price, CitygateNatural Gas Price, Delivered to Consumers, ResidentialNatural Gas Price, Delivered to Consumers, CommercialNatural Gas Price, Delivered to Consumers, IndustrialNatural Gas Price, Electric Power SectorAverage Retail Price of Electricity, ResidentialAverage Retail Price of Electricity, CommercialAverage Retail Price of Electricity, IndustrialAverage Retail Price of Electricity, TransportationAverage Retail Price of Electricity, TotalLeaded Regular Gasoline, U.S. City Average Retail PriceUnleaded Regular Gasoline, U.S. City Average Retail PriceUnleaded Premium Gasoline, U.S. City Average Retail PriceAll Grades of Gasoline, U.S. City Average Retail PriceRegular Motor Gasoline, Conventional Gasoline Areas, Retail PriceRegular Motor Gasoline, Reformulated Gasoline Areas, Retail PriceRegular Motor Gasoline, All Areas, Retail PriceOn-Highway Diesel Fuel PriceAverage Sales PriceMedian Sales Price
01973-01-01NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
11973-02-010.00.00.00.00.00.00.00.00.00.00.00.0559140.00.0-0.0031700.00.00.00.00.0233740.027594
21973-03-010.00.00.00.00.00.00.00.00.00.00.00.0753560.00.00.0000000.00.00.00.00.0228400.026853
31973-04-010.00.00.00.00.00.00.00.00.00.00.00.0170450.00.00.0031800.00.00.00.00.0223300.026151
41973-05-010.00.00.00.00.00.00.00.00.00.00.00.0242090.00.00.0095090.00.00.00.00.0075970.008155
51973-06-010.00.00.00.00.00.00.00.00.00.00.00.0109090.00.00.0125590.00.00.00.00.0075400.008089
61973-07-010.00.00.00.00.00.00.00.00.00.00.00.0035970.00.00.0155040.00.00.00.00.0074840.008024
71973-08-010.00.00.00.00.00.00.00.00.00.00.0-0.0071680.00.00.0122140.00.00.00.00.0065000.004975
81973-09-010.00.00.00.00.00.00.00.00.00.00.0-0.0072200.00.00.0090500.00.00.00.00.0064580.004950
91973-10-010.00.00.00.00.00.00.00.00.00.00.0-0.2690910.00.00.0029900.00.00.00.00.0064160.004926

Last rows

DateNatural Gas Price, WellheadNatural Gas Price, CitygateNatural Gas Price, Delivered to Consumers, ResidentialNatural Gas Price, Delivered to Consumers, CommercialNatural Gas Price, Delivered to Consumers, IndustrialNatural Gas Price, Electric Power SectorAverage Retail Price of Electricity, ResidentialAverage Retail Price of Electricity, CommercialAverage Retail Price of Electricity, IndustrialAverage Retail Price of Electricity, TransportationAverage Retail Price of Electricity, TotalLeaded Regular Gasoline, U.S. City Average Retail PriceUnleaded Regular Gasoline, U.S. City Average Retail PriceUnleaded Premium Gasoline, U.S. City Average Retail PriceAll Grades of Gasoline, U.S. City Average Retail PriceRegular Motor Gasoline, Conventional Gasoline Areas, Retail PriceRegular Motor Gasoline, Reformulated Gasoline Areas, Retail PriceRegular Motor Gasoline, All Areas, Retail PriceOn-Highway Diesel Fuel PriceAverage Sales PriceMedian Sales Price
5802021-05-010.0264550.1302080.1534690.0666670.0300000.0668790.009448-0.002745-0.007396-0.0039560.004673NaN0.0468470.0408100.0460960.0411400.0505250.0444370.0277960.0245120.024917
5812021-06-010.3092780.1244240.2547770.0691960.0072820.065672-0.0028800.0403670.0849480.0248260.051163NaN0.0612380.0572860.0670830.0273830.0246720.0264660.0217590.0239260.024311
5822021-07-010.0196850.1475410.1246470.0313150.1397590.1540620.0014440.0149910.032967-0.0135660.021239NaN0.0250480.0249870.0249610.0269910.0176780.0234990.0158200.0233670.023734
5832021-08-010.1042470.0125000.0521560.0313770.0591970.0800970.0057680.0043440.015957-0.0009820.007799NaN0.0068050.0105210.0075170.0059130.0086850.0070150.0032940.003453-0.002513
5842021-09-01-0.0524480.102293-0.0347950.0088320.1117760.1438200.0172040.0121110.0065450.0973450.002580NaN0.0030720.0017780.0029840.0062050.0041570.0053830.0101490.003441-0.002519
5852021-10-010.1180810.025600-0.1358020.0165370.2280070.129666-0.007047-0.011966-0.020806-0.079749-0.030017NaN0.0367530.0240810.0345140.0363520.0366650.0365350.0673760.003429-0.002526
5862021-11-010.105611-0.059282-0.240571-0.0325360.0277780.0243480.001419-0.019031-0.0092960.020448-0.008842NaN0.0286560.0267330.0284730.0256810.0436390.0316010.031838NaNNaN
5872021-12-010.000000-0.036484-0.0120390.021761-0.041252-0.125637-0.025514-0.012346-0.0402140.001908-0.009813NaN-0.021252-0.011572-0.019855-0.032672-0.013938-0.025920-0.023075NaNNaN
5882022-01-01NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.0014670.000488-0.0014270.005997-0.0036030.0024190.022796NaNNaN
5892022-02-01NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.0524470.0346170.0500000.0668340.0495130.0609350.082707NaNNaN